📚 Enhanced Multimodal RAG with Hugging Face

💡 Example Questions

📋 Instructions:

1. Get HF Token: Visit Hugging Face Settings to get your token
2. Upload PDF: Click "Choose File" and select your PDF document
3. Process Document: Click "Process PDF" and wait for confirmation
4. Ask Questions: Type questions or use example prompts

✨ Enhanced Features:

• 📄 Multiple Text Extraction Methods: PyPDF2, PyMuPDF, OCR, and Unstructured
• 🖼️ Advanced Image Processing: Direct PDF image extraction + vision models
• 🔍 Robust PDF Handling: Works with scanned PDFs, complex layouts, and image-heavy documents
• 💬 Interactive Chat: Conversation history with multimodal understanding
• ⚡ Error Recovery: Graceful fallbacks when one extraction method fails
• 📊 Processing Statistics: Detailed feedback on what was extracted

🔧 Models Used:

• 🎭 Multimodal: Microsoft GIT-Large (understands images + text together)
• 📝 Text Generation: Google FLAN-T5-Base (optimized for Q&A)
• 👁️ Vision: Salesforce BLIP (image captioning and understanding)
• 🔍 Embeddings: Sentence Transformers all-MiniLM-L6-v2
• 📖 OCR: Tesseract for text recognition in images

🎯 Multimodal Capabilities:

• Text + Images: Can answer questions about both text content and visual elements
• Image Understanding: Describes charts, diagrams, photos in your PDFs
• OCR Integration: Extracts text from images within PDFs
• Context Awareness: Combines text and visual information for comprehensive answers
• Fallback Strategy: Uses multiple methods to ensure successful text extraction

🛠️ Troubleshooting:

• No text extracted: Try different PDF files, ensure not password-protected
• Large files: Keep PDFs under 50MB for optimal performance
• Scanned PDFs: OCR will automatically process image-based text
• Complex layouts: Multiple extraction methods handle various PDF formats